Learning GIS Using Open Source Software

This book PDF is perfect for those who love Architecture genre, written by Kakoli Saha and published by Taylor & Francis which was released on 07 December 2021 with total hardcover pages 183. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Learning GIS Using Open Source Software books below.

Learning GIS Using Open Source Software
Author : Kakoli Saha
File Size : 46,8 Mb
Publisher : Taylor & Francis
Language : English
Release Date : 07 December 2021
ISBN : 9781000478679
Pages : 183 pages
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Learning GIS Using Open Source Software by Kakoli Saha Book PDF Summary

This book introduces the usage, functionality, and application of data in geographic information systems (GIS) for geo-spatial analysis. It offers knowledge on GIS tools and techniques and explains how they can be applied in real-world project to architects and planners in the Indian and the Greater South Asian context using open-source software. The volume explains concepts on planning and architectural tasks, their data, methods and requirements followed, and includes GIS-related exercises on the same tasks. It takes the reader through the concepts of geo-spatial analysis and its referencing system while quoting examples from India. Further, the content of the book will help the planners involved in preparing GIS-based master planning for cities under the Atal Mission for Rejuvenation and Urban Transformation (AMRUT) scheme (see Glossary for details). A practical guidebook providing a step-by-step guide to learn open source GIS, this book will be useful for students, scholars and professionals from the field of architecture and planning, geography and other spatial sciences, instructors of GIS courses on planning and architecture, urban and regional planners, transport planners, urban design, landscape architects, environmental planners, departments of town and country planning, and development authorities. It will also be useful for anyone interested in the geospatial analysis.

Learning GIS Using Open Source Software

This book introduces the usage, functionality, and application of data in geographic information systems (GIS) for geo-spatial analysis. It offers knowledge on GIS tools and techniques and explains how they can be applied in real-world project to architects and planners in the Indian and the Greater South Asian context using

Get Book
Open Source GIS  A GRASS GIS Approach

Since the first edition of Open Source GIS: A GRASS GIS Approach was published in 2002, GRASS has undergone major improvements. This second edition includes numerous updates related to the new development; its text is based on the GRASS 5.3 version from December 2003. Besides changes related to GRASS 5.3 enhancements, the introductory chapters

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Desktop GIS

"Desktop GIS" explores the world of Open Source GIS software and provides a guide to navigate the many options available. Strategies for choosing a platform, selecting the right tools, integration, managing change, and getting support are presented.

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Provides information on how to create custom maps from tools available over the Internet.

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This is a book about how ecologists can integrate remote sensing and GIS in their daily work. It will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns

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* The first book to cover MapServer. * Shows readers how to build dynamic maps using popular open source languages including PHP, Perl and Python. * Shows readers how to pull map information from a MySQL database, to build data-driven mapping applications.

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Thoroughly updated with material related to the GRASS6, the third edition includes new sections on attribute database management and SQL support, vector networks analysis, lidar data processing and new graphical user interfaces. All chapters were updated with numerous practical examples using the first release of a comprehensive, state-of-the-art geospatial data

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